Tools for predicting forage growth in rangelands and economic analyses—a systematic review

SN Subhashree, C Igathinathane, A Akyuz, M Borhan… - Agriculture, 2023 - mdpi.com
Farmers and ranchers depend on annual forage production for grassland livestock
enterprises. Many regression and machine learning (ML) prediction models have been …

Weather index insurance viability in mitigation of climate change impact risk: a systematic review and future agenda

P Singh - Journal of Science and Technology Policy …, 2024 - emerald.com
Purpose The purpose of the present paper is to review studies on weather index-insurance
as a tool to manage the climate change impact risk on farmers and to explore the study gaps …

Learning space-time crop yield patterns with zigzag persistence-based lstm: Toward more reliable digital agriculture insurance

T Jiang, M Huang, I Segovia-Dominguez… - Proceedings of the …, 2022 - ojs.aaai.org
More than US $27 billion is estimated to have been paid-out in farm support in USA alone
since 1991 in response to climate change impacts on agriculture, with costs likely continuing …

Identification of Robust Hybrid Inversion Models on the Crop Fraction of Absorbed Photosynthetically Active Radiation Using PROSAIL Model Simulated and Field …

J Kong, Z Luo, C Zhang, M Tang, R Liu, Z Xie, S Feng - Agronomy, 2023 - mdpi.com
The fraction of absorbed photosynthetically active radiation (FPAR), which represents the
capability of vegetation-absorbed solar radiation to accumulate organic matter, is a crucial …

Improving the performance of index insurance using crop models and phenological monitoring

MH Afshar, T Foster, TP Higginbottom, B Parkes… - Remote Sensing, 2021 - mdpi.com
Extreme weather events cause considerable damage to the livelihoods of smallholder
farmers globally. Whilst index insurance can help farmers cope with the financial …

Efficacy of weather index insurance for mitigation of weather risks in agriculture: An integrative review

P Singh, G Agrawal - International Journal of Ethics and Systems, 2019 - emerald.com
Purpose The purpose of this paper is to review research on weather index insurance (WII)
for mitigating the weather risk in agriculture and to identify research gaps in current available …

Modeling mortality with kernel principal component analysis (KPCA) method

Y Wu, A Chen, Y Xu, G Pan, W Zhu - Annals of Actuarial Science, 2024 - cambridge.org
As the global population continues to age, effective management of longevity risk becomes
increasingly critical for various stakeholders. Accurate mortality forecasting serves as a …

A representation-learning approach for insurance pricing with images

C Blier-Wong, L Lamontagne… - ASTIN Bulletin: The Journal …, 2024 - cambridge.org
Unstructured data are a promising new source of information that insurance companies may
use to understand their risk portfolio better and improve the customer experience. However …

Crop Type Mapping and Winter Wheat Yield Prediction Utilizing Sentinel-2: A Case Study from Upper Thracian Lowland, Bulgaria

I Kamenova, M Chanev, P Dimitrov, L Filchev… - Remote Sensing, 2024 - mdpi.com
The aim of this study is to predict and map winter wheat yield in the Parvomay municipality,
situated in the Upper Thracian Lowland of Bulgaria, utilizing satellite data from Sentinel-2 …

Approaching rainfall-based weather derivatives pricing and operational challenges

A Martínez Salgueiro, MA Tarrazon-Rodon - Review of Derivatives …, 2020 - Springer
This article approaches some of the current rainfall derivatives pricing and operational
challenges through an empirical application to Comunidad Valenciana, Spain. Regarding …